Introduction To Robust Estimation And Hypothesis Testing by Rand R. WilcoxIntroduction To Robust Estimation And Hypothesis Testing by Rand R. Wilcox

Introduction To Robust Estimation And Hypothesis Testing

byRand R. Wilcox

Hardcover | September 19, 2016

Pricing and Purchase Info

$153.86 online 
$186.69 list price save 17%
Earn 769 plum® points

Prices and offers may vary in store

Quantity:

In stock online

Ships free on orders over $25

Not available in stores

about

Introduction to Robust Estimating and Hypothesis Testing, 4th Editon,is a how-to' on the application of robust methods using available software. Modern robust methods provide improved techniques for dealing with outliers, skewed distribution curvature and heteroscedasticity that can provide substantial gains in power as well as a deeper, more accurate and more nuanced understanding of data. Since the last edition, there have been numerous advances and improvements. They include new techniques for comparing groups and measuring effect size as well as new methods for comparing quantiles. Many new regression methods have been added that include both parametric and nonparametric techniques. The methods related to ANCOVA have been expanded considerably. New perspectives related to discrete distributions with a relatively small sample space are described as well as new results relevant to the shift function. The practical importance of these methods is illustrated using data from real world studies. The R package written for this book now contains over 1200 functions.

New to this edition

  • 35% revised content
  • Covers many new and improved R functions
  • New techniques that deal with a wide range of situations


  • Extensive revisions to cover the latest developments in robust regression
  • Covers latest improvements in ANOVA
  • Includes newest rank-based methods
  • Describes and illustrated easy to use software
Rand R. Wilcox has a Ph.D. in psychometrics, and is a professor of psychology at the University of Southern California. Wilcox's main research interests are statistical methods, particularly robust methods for comparing groups and studying associations. He also collaborates with researchers in occupational therapy, gerontology, biology...
Loading
Title:Introduction To Robust Estimation And Hypothesis TestingFormat:HardcoverDimensions:810 pages, 9.41 × 7.24 × 0.98 inPublished:September 19, 2016Publisher:Academic PressLanguage:English

The following ISBNs are associated with this title:

ISBN - 10:012804733X

ISBN - 13:9780128047330

Look for similar items by category:

Reviews

Table of Contents

1. Introduction

2. A Foundation for Robust Methods

3. Estimating Measures of Location and Scale

4. Confidence Intervals in the One-Sample Case

5. Comparing Two Groups

6. Some Multivariate Methods

7. One-Way and Higher Designs for Independent Groups

8. Comparing Multiple Dependent Groups

9. Correlation and Tests Of Independence

10. Robust Regression

11. More Regression Methods

12. ANCOVA